chevron icon Twitter logo Facebook logo LinkedIn logo YouTube logo download icon link icon audio icon quote icon posted icon clock icon author icon arrow icon arrow icon plus icon Search icon location icon location icon document icon menu icon plus-alt

Overview

Resource ID: INDIGO-ARES-0115

Link: https://www.bttop.org/sites/default/files/public/W.K.%20Kellogg%20LogicModel.pdf

The W.K. Kellogg Foundation Logic Model Development Guide,a companion publication to the Evaluation Handbook, focuses on the development and use of the program logic model. We have found the logic model and its processes facilitate thinking, planning, and communications about program objectives and actual accomplishments.Through this guide, we hope to provide an orientation to the underlying principles and language of the program logic model so it can be effectively used in program planning, implementation, and dissemination of results.
The premise behind this guide – and our view of the role of evaluation in programming – is simple: Good evaluation reflects clear thinking and responsible program management.

The Logic Model Development Guide contains four chapters and two comprehensive appendices.
Chapter 1 presents a basic introduction to the logic model as an action-oriented tool for program planning and evaluation. It also offers an array of sample logic models.
Chapter 2 consists of exercises and examples focused on the development of a simple program logic model. Exercises include practical examples, checklists for reviewing content quality, and a template for developing a logic model.
Chapter 3 gives instructions on how to expand a basic logic model to explore and explain the theoryof-change that describes the rationale for your program.A template and checklist are provided.
Chapter 4 offers two exercises that afford the reader with an introduction to how the basic logic modeling techniques introduced in the previous chapters can be applied to inform thinking about what should be included in an evaluation plan.Templates and checklists are also provided.
The Resources Appendix provides logic model development resources – references and Web sites worth visiting. The Forms Appendix includes blank templates to copy when developing your own logic models.

More details

Impact goal: Health, Defence, Housing, Agnostic, Democracy, Education, Well being, SDG oriented, Social impact, Local rejuvenation, Sustainability eco, Development poverty reduction, Employment financial well being

Internal/external: Internal

Leader: W.K. Kellogg Foundation

Method: Theory of change

Output format: Qualitative only

Scale: Meso, Macro, Micro, Agnostic

Sourcing: Self driven

Time frame: Prospective

Type: Guide

Used in sectors: Charity, Impact investing

Who: Third sector

Is this information correct?
Do you have more you can add?

Please tell us about it

Get in touch

Important Notice and Disclaimer on INDIGO Data

INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at indigo@bsg.ox.ac.uk if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.